Senior Product Manager - Personalisation

Tesco UK; Welwyn Garden City; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading retail company in the United Kingdom is looking for an experienced Product Manager for their Data & AI division. This role involves defining product vision and strategy, delivering measurable value, and collaborating with cross-functional teams. Candidates should have deep expertise in customer data, proven success in managing Data & AI product lifecycles, and strong leadership skills. Tesco offers flexible working patterns, combining office and remote opportunities, committed to an inclusive workplace.

Benefits

Inclusive workplace

Flexible work patterns

Career development opportunities

Qualifications

• Deep expertise in customer data within retail.
• Proven success leading end-to-end product lifecycles for Data & AI/ML products.
• Strong product management skills using structured methodologies and agile practices.
• Extensive collaboration with data science, engineering, and analytics teams.
• Technical knowledge of product management best practices and enterprise technology systems.

Responsibilities

• Define the product vision and strategy in collaboration with the Lead PM.
• Set and track OKRs and KPIs to deliver business value.
• Develop an understanding of user personas and customer journeys.
• Encourage rapid hypothesis-based experimentation to deliver value.
• Engage in market research to shape product direction.

Skills

Customer data expertise

Product management skills

Collaboration with data teams

Technical fluency

Leadership & communication

Tools

Aha!

Job description

The Data & AI Product team is responsible for developing and managing data and AI/ML products that drive intelligent experiences, decisions, and actions across the Tesco ecosystem. We work in close partnership with business and technology teams across Customer (including Insights, Marketing and Tesco Group departments), Finance, Commercial etc. to enable the seamless build, consumption, integration and expansion of Data & AI capabilities.

Responsibilities

• Define Product Vision & Strategy – Working in close collaboration with the Lead PM, Evolve and drive the vision, strategy, and the long‑term roadmap for a suite of products that will help deliver on our Group Personalisation Data vision & strategy.
• Deliver Measurable Value – Champion a value‑first mindset. Set and track OKRs and KPIs across the product portfolio with a strong focus on delivering tangible business value.
• User‑Centricity - Develop a deep understanding of user personas, customer journeys, and stakeholder needs to identify pain points and opportunities. Use this insight to shape product strategy, prioritise features, and ensure solutions deliver meaningful value.
• Fail‑fast - Champion a fail‑fast mindset by encouraging rapid hypothesis‑based experimentation, learning from early failures, and iterating quickly to deliver value. Promote a culture where teams feel empowered to test bold ideas, validate assumptions, and pivot when needed—ensuring continuous improvement and innovation.
• Competitive Landscape Understanding - Engage with and actively involved in market research, leveraging insights to shape the vision and strategic direction.
• Drive Product Execution - Translate strategy into actionable plans by managing backlogs – from Opportunity backlog to Idea Backlog to Product Backlog to Sprint backlog, and steer sprint/release planning with cross‑functional team / squad.
• Collaborate & Influence Stakeholders - Partner with peers, senior leaders, and cross‑functional teams to steer product direction and drive alignment.
• Resolve Trade‑offs & Live Issues - Make decisive prioritisation calls, manage conflicting demands, and independently coordinate resolution of live product issues.

Qualifications

• Deep expertise in customer data within retail
  • Commercial drivers, business metrics, and performance
  • Quantitative & qualitative data from surveys, social media, analytics, and direct interactions
  • Identity/profile data for personalisation
  • Segmentation solutions for communication & insight
  • Descriptive data (interests, lifestyle, preferences) to tailor products
• Proven success leading end‑to‑end product lifecycles for Data & AI/ML products
• Strong product management skills
  • Structured methodologies, agile practices, and OKRs
  • Data‑driven prioritisation and roadmap decisions
  • Tools expertise (e.g., Aha!) for roadmaps and stakeholder alignment
• Extensive collaboration with data science, engineering, and analytics teams
• Technical fluency
  • Product management best practices & UX/UI principles
  • Enterprise technology systems and large‑scale data platforms (scalability, availability, performance, security)
  • System health metrics (uptime, SLOs, response time)
• Leadership & communication strengths
  • Stakeholder management and decision‑making
  • Balancing technical debt with innovation
  • Excellent written, verbal, and presentation skills
  • Ability to influence senior leadership and build strong relationships

Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full‑time & part‑time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.